Randall J Hunt, Ph.D.
Randall Hunt is a Chief Science Officer with the Upper Midwest Water Science Center.
AREAS OF EXPERTISE
My work focuses on water flow, and its effect on natural systems. This research uses a variety of approaches such as numerical modeling, ion and isotope chemistry, tracers, parameter estimation, and stochastic methods. It emphasizes a range of groundwater – surface water systems including wetland, stream, and lake interactions. More recently this work has been extended to research investigating ecohydrology of aquatic systems, effects of climate and landuse drivers, and source and transport of enteric viruses to drinking water wells and temperature through watersheds. Much of my work has focused on improving model forecasts and uncertainty estimates for decision making.
Professional Experience
2018 to 2021 - Chief Science Officer, US Geological Survey, Upper Midwest Water Science Center
2015 to 2018 - Associate Director of Science, US Geological Survey, Upper Midwest Water Science Center
1996 to present - Research Hydrologist, US Geological Survey, Upper Midwest Water Science Center
2003 to present - Adjunct Professor, University of Wisconsin-Madison, Department of Geoscience
2000 to 2003 - Adjunct Assistant Professor, University of Wisconsin-Madison, Department of Geoscience
1990 to 1996 - Hydrologist, US Geological Survey, Wisconsin District
1991 to 1993 - Research Fellow, US DOE, Environmental Restoration and Waste Management Program
1988 to 1990 - Hydrogeologist/Project Manager, Barr Engineering Company, Minneapolis, MN
1986 to 1987 - Leopold Research Fellow, Leopold Memorial Reserve, Baraboo, WI
Education and Certifications
Ph.D in Hydrogeology (major) and Wetland Sciences (minor) - University of Wisconsin-Madison, 1993
M.S. in Hydrogeology - University of Wisconsin-Madison, 1987
B.A. in Geology (major) and Business (major) - Gustavus Adolphus College, 1985
Affiliations and Memberships*
Professional Societies
Professional Hydrologist #60-111, State of Wisconsin
Geological Society of America
American Water Resources Association, Wisconsin Section
Society of Wetland Scientists
American Geophysical Union
National Groundwater Association
Academic and Professional Service
2014 to 2019 - Advisor to the Editor-In-Chief for the journal Groundwater
2009 to 2013 - Associate Editor for Hydrogeology Journal
2008 to 2009 - Guest Editor for "Hydrogeoecology and Groundwater Dependent Ecosystems" theme issue of Hydrogeology Journal
2005 to present - Appointed by Governor to the State of Wisconsin Department of Regulation and Licensing Geology, Hydrology, Soil Science Joint Board (Chair 2008 - 2014)
2005 to 2006 - Guest Editor for "Analytic Element Modeling" special issue of the journal Groundwater
2002 to 2004 - Associate Editor for the journal Wetlands
1998 to 2010 - Member, University of Wisconsin System Groundwater Research Advisory Council (Chair 2003-2010)
1995 to present - Member, State of Wisconsin Groundwater Coordinating Council Research Subcommittee
1997 to present - Associate Editor for the journal Groundwater
Editorial Boards
Groundwater
Environmental Modelling & Software
Honors and Awards
2013 – Distinguished Service Award, Wisconsin Section-AWRA
2012 – Superior Service Award, US Department of the Interior
Science and Products
Sources and risk factors for nitrate and microbial contamination of private household wells in the fractured dolomite aquifer of northeastern Wisconsin
Evaluating lower computational burden approaches for calibration of large environmental models
Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis
Modeling water quality in watersheds: From here to the next generation
Assessment of NMR logging for estimating hydraulic conductivity in glacial aquifers
NGWA Groundwater Modeling Advisory Panel Survey on the Use of Uncertainty Analysis in Groundwater Modeling
Simulation of the regional groundwater-flow system in the St. Louis River basin, Minnesota
Revisiting “An Exercise in Groundwater Model Calibration and Prediction” after 30 years: Insights and New Directions
A framework for characterising and evaluating the effectiveness of environmental modelling
Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities
Book review: Analytical groundwater mechanics
Automated time-series measurement of microbial concentrations in groundwater-derived water supplies
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
- Science
- Data
- Publications
Filter Total Items: 135
Sources and risk factors for nitrate and microbial contamination of private household wells in the fractured dolomite aquifer of northeastern Wisconsin
Background:Groundwater quality in the Silurian dolomite aquifer in northeastern Wisconsin, USA, has become contentious as dairy farms and exurban development expand.Objectives:We investigated private household wells in the region, determining the extent, sources, and risk factors of nitrate and microbial contamination.Methods:Total coliforms, Escherichia coli, and nitrate were evaluated by synoptiAuthorsMark A. Borchardt, Joel P. Stokdyk, Burney A Kieke, Maureen A. Muldoon, Susan K. Spencer, Aaron Firnstahl, Davina Bonness, Randall J. Hunt, Tucker R. BurchEvaluating lower computational burden approaches for calibration of large environmental models
Realistic environmental models used for decision making typically require a highly parameterized approach. Calibration of such models is computationally intensive because widely used parameter estimation approaches require individual forward runs for each parameter adjusted. These runs construct a parameter-to-observation sensitivity, or Jacobian, matrix used to develop candidate parameter upgradeAuthorsRandall J. Hunt, Jeremy T. White, Leslie L. Duncan, Connor J. Haugh, John E. DohertyApproaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis
PEST++ Version 5 extends and enhances the functionality of the PEST++ Version 3 software suite, providing environmental modeling practitioners access to updated Version 3 tools as well as new tools to support decision making with environmental models. Version 5 of PEST++ includes tools for global sensitivity analysis (PESTPP-SEN); least-squares parameter estimation with integrated first-order, secAuthorsJeremy T. White, Randall J. Hunt, Michael N. Fienen, John E. DohertyModeling water quality in watersheds: From here to the next generation
In this synthesis, we assess present research and anticipate future development needs in modeling water quality in watersheds. We first discuss areas of potential improvement in the representation of freshwater systems pertaining to water quality, including representation of environmental interfaces, in‐stream water quality and process interactions, soil health and land management, and (peri‐)urbaAuthorsBaihua Fu, J. S. Horsburgh, Anthony J. Jakeman, C Gaultieri, Todd W. Arnold, Lucy A. Marshall, Tim R Green, Nigel W. T. Quinn, Martin Volk, Randall J. Hunt, L. Vezzaro, Barry Croke, John Jakeman, Valerie O Snow, Brenda RashleighAssessment of NMR logging for estimating hydraulic conductivity in glacial aquifers
Glacial aquifers are an important source of groundwater in the United States and require accurate characterization to make informed management decisions. One parameter that is crucial for understanding the movement of groundwater is hydraulic conductivity, K. Nuclear magnetic resonance (NMR) logging measures the NMR response associated with the water in geological materials. By utilizing an externAuthorsAlexander K. Kendrick, Rosemary Knight, Carole D. Johnson, Gaisheng Liu, Steven Knobbe, Randall J. Hunt, James J. ButlerNGWA Groundwater Modeling Advisory Panel Survey on the Use of Uncertainty Analysis in Groundwater Modeling
This white paper provides the results of a survey by members of the NGWA Groundwater Modeling Advisory Panel to assess the use of uncertainty analysis in groundwater modeling.The objective of the survey was to improve understanding of the use of uncertainty analysis in practical groundwater modeling projects subject to real-world constraints, such as limited budgets and tight deadlines.AuthorsSteve Luis, Pete Schulmeyer, David Bean, Connor P. Newman, Dan Puddephatt, Rodney A. Sheets, Randall J. HuntSimulation of the regional groundwater-flow system in the St. Louis River basin, Minnesota
The St. Louis River Basin (SLRB) covers 3,600 square miles in northeastern Minnesota, with headwaters in the Mesabi Range and extensive wetlands and lakes throughout the basin. To better understand the regional groundwater system in the SLRB, a two-dimensional, steady-state groundwater-flow model of the SLRB was developed by the U.S. Geological Survey, in cooperation with the Minnesota Ojibwe BandAuthorsMegan J. Haserodt, Randall J. Hunt, Timothy K. Cowdery, Andrew T. Leaf, Anna C. BakerRevisiting “An Exercise in Groundwater Model Calibration and Prediction” after 30 years: Insights and New Directions
In 1988, an important publication moved model calibration and forecasting beyond case studies and theoretical analysis. It reported on a somewhat idyllic graduate student modeling exercise where many of the system properties were known; the primary forecasts of interest were heads in pumping wells after a river was modified. The model was calibrated using manual trial‐and‐error approaches where aAuthorsRandall J. Hunt, Michael N. Fienen, Jeremy T. WhiteA framework for characterising and evaluating the effectiveness of environmental modelling
Environmental modelling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modelling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposAuthorsSerena H Hamilton, Baihua Fu, Joseph H. A. Guillaume, Jennifer Badham, Sondoss Elsawah, Patricia Gober, Randall J. Hunt, Takuya Iwanaga, Anthony J. Jakeman, Daniel P. Ames, Allan Curtis, Mary C Hill, Suzanne A Pierce, Fateme ZareEffective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities
The effectiveness of Integrated Water Resource Management (IWRM) modeling hinges on the quality of practices employed through the process, starting from early problem definition all the way through to using the model in a way that serves its intended purpose. The adoption and implementation of effective modeling practices need to be guided by a practical understanding of the variety of decisions tAuthorsJ. Badham, Sondoss Elsawah, Joseph H. A. Guillaume, Serena H Hamilton, Randall J. Hunt, Anthony J. Jakeman, Suzanne A Pierce, Meghna Babbar-Sebens, Baihua Fu, Patricia Gober, Mary C Hill, Takuya Iwanaga, Daniel P Loucks, Wendy S. Merritt, Scott D Peckham, Amy K Richmond, Fateme Zare, Daniel P. Ames, Gabriele BammerBook review: Analytical groundwater mechanics
Encapsulating almost 50 years of experience applying mathematics to groundwater flow problems, this latest textbook from Otto Strack (2017) is a tour de force for analytical groundwater approaches. It is comprised of 10 chapters, spanning topics from the basics of groundwater mechanics, to steady state, three‐dimensional, and transient flow, as well as particle tracking and solute transport. The bAuthorsRandall J. HuntAutomated time-series measurement of microbial concentrations in groundwater-derived water supplies
Fecal contamination by human and animal pathogens, including viruses, bacteria, and protozoa, is a potential human health hazard, especially with regards to drinking water. Pathogen occurrence in groundwater varies considerably in space and time, which can be difficult to characterize as sampling typically requires hundreds of liters of water to be passed through a filter. Here we describe the desAuthorsDavid W. Owens, Randall J. Hunt, Aaron Firnstahl, Maureen A. Muldoon, Mark A. BorchardtNon-USGS Publications**
Abrams, D.B., Haitjema, H.M., Feinstein, D.T. and Hunt, R.J., 2015, Field test of a Hybrid Finite-Difference and Analytic Element regional model. Groundwater. doi: 10.1111/gwat.12319.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government